Enqueue resource_events jobs for all issues/MRs after discussion sync,
then drain the queue by fetching state/label/milestone events from GitLab
API and storing them via transaction-based wrappers. Adds progress events,
count tracking through orchestrator->ingest->sync result chain, and
respects fetch_resource_events config flag. Includes clippy fixes across
codebase from parallel agent work.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Three targeted regression tests covering bugs fixed in the embedding
pipeline hardening:
- overflow_doc_with_error_sentinel_not_re_detected_as_pending: verifies
that documents skipped for producing too many chunks have their
sentinel error recorded in embedding_metadata and are NOT returned by
find_pending_documents or count_pending_documents on subsequent runs
(prevents infinite re-processing loop).
- count_and_find_pending_agree: exercises four states (empty DB, new
document, fully-embedded document, config-drifted document) and
asserts that count_pending_documents and find_pending_documents
produce consistent results across all of them.
- full_embed_delete_is_atomic: confirms the --full flag's two DELETE
statements (embedding_metadata + embeddings) execute atomically
within a transaction.
Also updates test DB creation to apply migration 010.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Four new test modules covering the search infrastructure:
- tests/embedding.rs: Unit tests for the embedding pipeline including
chunk ID encoding/decoding, change detection, and document chunking
with overlap verification.
- tests/fts_search.rs: Integration tests for FTS5 search including
safe query sanitization, multi-term queries, prefix matching, and
the raw FTS mode for power users.
- tests/hybrid_search.rs: End-to-end tests for hybrid search mode
including RRF fusion correctness, graceful degradation when
embeddings are unavailable, and filter application.
- tests/golden_query_tests.rs: Golden query tests using fixtures
from tests/fixtures/golden_queries.json to verify search quality
against known-good query/result pairs. Ensures ranking stability
across implementation changes.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
